Staff Engineering Product Manager

Role Description

This position is fully remote and can be performed from any location within the United States. The role requires a reliable internet connection and the ability to work independently in a remote environment.

Join the Splunk Observability Cloud team as we build AI agents that help engineering and operations teams detect problems, investigate root causes, and safely remediate issues across complex cloud environments. Work within a collaborative, cross-functional group of product managers, engineers, designers, researchers, and go-to-market partners focused on making production operations more reliable. Help shape an emerging product area with the potential to transform how teams understand and resolve operational issues.

Your Impact

• Lead the strategy and roadmap for AI agents spanning detection, troubleshooting, and remediation.
• Set 12–18-month goals, milestones, and success measures aligned with customer and business needs.
• Discover high-value problems through customer interviews, product data, field feedback, market research, and competitive analysis.
• Prototype concepts with tools such as Codex, Claude, and similar AI development platforms to test workflows, gather feedback, and accelerate product decisions.
• Define requirements and evaluation methods for agent accuracy, reliability, explainability, safety, and user trust.
• Prioritize new capabilities, platform investments, customer requests, technical debt, and quality improvements.
• Partner with engineering and design from discovery through delivery, then measure adoption and refine the product.
• Represent the product with customers, advisory councils, internal teams, and company leaders.

Qualifications

• Bachelor’s degree with 8 years of related experience, master’s degree with 6 years of related experience, PhD with 3 years of related experience, or equivalent practical experience.
• Experience managing technically complex products in one or more of the following areas: enterprise software, cloud computing, data platforms, infrastructure, observability, or artificial intelligence.
• Experience defining product strategy, roadmaps, requirements, milestones, and measurable success criteria for software products.
• Experience conducting customer research and using qualitative and quantitative evidence to prioritize product opportunities.
• Experience partnering with engineering and design teams throughout product discovery, development, launch, adoption, and improvement.

Preferred Qualifications

• Experience building or managing AI-powered, generative AI, or agentic products.
• Working knowledge of observability, Kubernetes, microservices, distributed systems, and DevOps or site reliability engineering practices.
• Familiarity with metrics, logs, traces, alerts, incident response, root-cause analysis, and production operations.
• Experience using AI-assisted development tools, such as Codex or Claude, to create prototypes, demonstrations, or proofs of concept.
• Ability to evaluate technical trade-offs, align cross-functional teams around measurable outcomes, and represent products with customers, advisory councils, internal stakeholders, and senior leaders.

Benefits

• Medical, dental and vision insurance.
• 401(k) plan with a Cisco matching contribution.
• Paid parental leave.
• Short and long-term disability coverage.
• Basic life insurance.
• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees.
• 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco.
• Non-exempt employees receive 16 days of paid vacation time per full calendar year.
• Exempt employees participate in Cisco’s flexible vacation time off program.
• 80 hours of sick time off provided on hire date and each January 1st thereafter.
• Optional 10 paid days per full calendar year to volunteer.